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TitleStatusHype
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement LearningCode0
Integrating Uncertainty Awareness into Conformalized Quantile RegressionCode0
Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified SketchesCode0
Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learningCode0
Bayesian quantile additive regression treesCode0
Implicit Quantile Networks for Distributional Reinforcement LearningCode0
Explainable Contextual Anomaly Detection using Quantile Regression ForestsCode0
RobustFair: Adversarial Evaluation through Fairness Confusion Directed Gradient SearchCode0
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric LaplaciansCode0
Generalized Random ForestsCode0
Simulation-Based Inference with Quantile RegressionCode0
Single-Model Uncertainties for Deep LearningCode0
Hard Shape-Constrained Kernel MachinesCode0
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural NetworksCode0
Adaptive Conditional Quantile Neural ProcessesCode0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
IGN : Implicit Generative NetworksCode0
Nested conformal prediction and quantile out-of-bag ensemble methodsCode0
Dynamic Network Quantile Regression ModelCode0
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble ForecastsCode0
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement LearningCode0
Causal Fair Machine Learning via Rank-Preserving Interventional DistributionsCode0
A framework for probabilistic weather forecast post-processing across models and lead times using machine learningCode0
Distributed Conformal Prediction via Message PassingCode0
Capturing Actionable Dynamics with Structured Latent Ordinary Differential EquationsCode0
Censored Quantile Regression ForestsCode0
Differentially Private Bootstrap: New Privacy Analysis and Inference StrategiesCode0
Distributional Reinforcement Learning with Quantile RegressionCode0
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support RecoveryCode0
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field ReconstructionCode0
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement LearningCode0
Can a single neuron learn predictive uncertainty?Code0
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion DetectionCode0
Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic ProcessesCode0
Generalized Distribution Prediction for Asset ReturnsCode0
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement LearningCode0
Conformal Thresholded Intervals for Efficient RegressionCode0
Conditional Quantile Estimation for Uncertain Watch Time in Short-Video RecommendationCode0
Inference for High Dimensional Censored Quantile RegressionCode0
Binscatter RegressionsCode0
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age ModelingCode0
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networksCode0
Conformalized Fairness via Quantile RegressionCode0
Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density EstimationCode0
Conformalized Quantile RegressionCode0
Conservative and Risk-Aware Offline Multi-Agent Reinforcement LearningCode0
Differentiable Ranking and Sorting using Optimal TransportCode0
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal InferenceCode0
Uncertainty Quantification of the Virial Black Hole Mass with Conformal PredictionCode0
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